Recent studies focus on machine learning (ML) algorithms for predicting employee churn (ECn) to save probable economic loss, technology leakage, and customer and knowledge transference. However, can human resource professionals rely on algorithms for prediction? Can they decide when the process...

Firms face many obstacles in their pursuit of innovation. However, the mechanisms that enable firms to surmount these challenges and foster innovation are less understood. This study thus investigates whether the better performance of firms with higher human capital is due to their increased...

Textbook theory predicts that t-ratios decline towards zero in regressions when there is increasing collinearity between two independent variables. This article shows that this rarely happens if the two variables are endogenous, and coefficients increase greatly with more collinearity. The...

We aim to derive a fraud detection approach applicable to conditions where historical fraud data is absent, inadequate, or outdated for making predictions. To this end, we propose a new approach to fraud detection based on expert opinion, enabling tailored tools for various conditions of...

This study aims at shedding light on how e-commerce contributes to climate change in European Union countries. To explore this relationship, we introduced a novel index designed to measure the evolution of climate change as the dependent variable, while considering e-commerce activities as the...

Integration and synergy of environmental policies is crucial for maximizing carbon reduction effects. This study investigates the heterogeneous impact of environmental policy synergy on carbon neutrality using panel data from 30 Chinese provinces between 2003 and 2022 and employing generalized...

The study investigates the effects of regulatory quality, green innovation, and their interaction on carbon emissions in 13 Asian countries from 1991 to 2022. The factors influencing emissions reduction in the region are investigated using PMG, GEE, Quantile regression, Panel Corrected Standard...